Debating the Future of Work: The Perception and Reaction of the Spanish Workforce to Digitization and Automation Technologies

Given the significant changes that are expected in the nature of work as a consequence of rapid technological advances, it is crucial that society finds ways to maximize benefits while recognizing and mitigating related challenges. This article is intended to fill a current research gap in this context by examining how aware and prepared affected workers are for the challenges predicted by research. This information is crucial since expectation and preparation of the workforce will significantly influence society's adaptability to the future. As a result of the article various significant relationships among workers' characteristics and their attitude towards automation could be identified. The interviewed workers' level of fear appears to have very little influence on preparation for automation-driven changes in the future while perceived opportunity significantly impacts this degree of preparation. Characteristics that additionally most influence the degree of preparatory steps taken by respondents are their level of education as well as work complexity and position. These findings should be used to identify potential ways for relevant stakeholders to adequately prepare for and meet the challenges of the impending increase of automation in the workplace.

Multisource Assessment for Development Purposes: Revisiting the Methodology of Data Analysis

Multisource assessment (MSA) is based on the belief that assessments are valid inferences about an individual's behavior. When used for performance management purposes, convergence of views among raters is important, and therefore testing factor invariance across raters is critical. However, when MSA is used for development purposes, raters usually come from a greater number of contexts, a fact that requires a different data analysis approach. We revisit the MSA data analysis methodology when MSA is used for development, with the aim of improving its effectiveness. First, we argue that having raters from different contexts is an integral element of the assessment, with the trait-context dyad being the actual latent variable. This leads to the specification of an Aggregate (instead of the usual Latent) multidimensional factor model. Second, since data analysis usually aggregates scores for each rater group into a single mean that is then compared with the self-rating score, we propose that the test for factor invariance must also include scalar invariance, a pre-requisite for mean comparison. To illustrate this methodology we conducted a 360° survey on a sample of over 1100 MBA students enrolled in a leadership development course. Finally, by means of the study we show how the survey can be customized to each rater group to make the MSA process more effective.

The Power of EI Competencies Over Intelligence and Individual Performance: A Task-Dependent Model

Prior research on emotional intelligence (EI) has highlighted the use of incremental models that assume EI and general intelligence (or g) make independent contributions to performance. Questioning this assumption, we study EI's moderation power over the relationship between g and individual performance, by designing and testing a task-dependent interaction model. Reconciling divergent findings in previous studies, we propose that whenever social tasks are at stake, g has a greater effect on performance as EI increases. By contrast, in analytic tasks, a compensatory (or negative) interaction is expected, whereby at higher levels of EI, g contributes to performance at a lesser extent. Based on a behavioral approach to EI, using 360-degree assessments of EI competencies, our findings show that EI moderates the effect of g on the classroom performance of 864 MBA business executives. Whilst in analytic tasks g has a stronger effect on performance at lower levels of EI competencies, our data comes short to show a positive interaction of EI and g in affecting performance on social tasks. Contributions and implications to research and practice are discussed.

An Alternative Approach to Analyze Ipsative Data. Revisiting Experiential Learning Theory

The ritualistic use of statistical models regardless of the type of data actually available is a common practice across disciplines which we dare to call type zero error. Statistical models involve a series of assumptions whose existence is often neglected altogether, this is specially the case with ipsative data. This paper illustrates the consequences of this ritualistic practice within Kolb's Experiential Learning Theory (ELT) operationalized through its Learning Style Inventory (KLSI). We show how using a well-known methodology in other disciplines—compositional data analysis (CODA) and log ratio transformations—KLSI data can be properly analyzed. In addition, the method has theoretical implications: a third dimension of the KLSI is unveiled providing room for future research. This third dimension describes an individual's relative preference for learning by prehension rather than by transformation. Using a sample of international MBA students, we relate this dimension with another self-assessment instrument, the Philosophical Orientation Questionnaire (POQ), and with an observer-assessed instrument, the Emotional and Social Competency Inventory (ESCI-U). Both show plausible statistical relationships. An intellectual operating philosophy (IOP) is linked to a preference for prehension, whereas a pragmatic operating philosophy (POP) is linked to transformation. Self-management and social awareness competencies are linked to a learning preference for transforming knowledge, whereas relationship management and cognitive competencies are more related to approaching learning by prehension.

Understanding Cognitive-Emotional Processing Through a Coaching Process

This study is based on intentional change theory and supports cognitive-emotion and social complexity perspectives regarding positive and negative affect. We examine how a coaching experience guided by a specific theoretical approach within a leadership development program at a European business school influences cognitive-emotional processing of MBA students with regard to their levels of personal vision comprehensiveness and strength, goal-directed energy, and resilience. A within-subjects pre–post Non-Equivalent Dependent Variables design with a total of 76 students was conducted using survey methods. A rigorous analysis sheds light on how intentional change theory–based coaching enhances individual self-development processes. Participants stated higher levels of personal vision, goal-directed energy, and resilience postcoaching. A series of moderator effects were identified regarding the quality of the coaching connection (i.e., overall emotional saliency) and the general self-efficacy of participants. Implications concerning how coaching processes may be enriched through the establishment of high-quality coaching connections are discussed.